Chaos and Determinism: A Paradigm

Policy makers depend upon ability to predict the outcome of their policies. Increasingly, in the field of international security ? in matters of war and peace ? prediction is based upon quantitative models. The point made here is that just because a model is mathematical, it does not follow that it can be used to make predictions, that non-linear models allow both predictive and chaotic regimes. After illustrating these matters with physical models, the paper turns to the modeling of an arms race between two antagonistic nations (or groups of nations). After discussing static and dynamic arms race models which are predictive, we turn to a simple non-linear arms race model which allows a transition from predictabililty to chaos. We then postulate that such a transition describes the transition from peace to war in the two party hostile competitive system being modeled by the nonlinear equations, that peace is to war in reality as determinism is to chaos in a mathematical model of that reality. Thus, escalation from peace to war through various levels of hostility may not be controllable, the ``slipping' from peace to war may be as inadvertent as the slipping from laminar flow to turbulence as an aircraft stalls and loses control. The lessons to be learned are to stay away from critical transition points if at all possible and ? more importantly ? to be very wary of claims of controllability in any escalation of a crisis.     

The Interior Structure, Composition, and Evolution of Giant Planets

We discuss our current understanding of the interior structure and thermal evolution of giant planets. This includes the gas giants, such as Jupiter and Saturn, that are primarily composed of hydrogen and helium, as well as the “ice giants,” such as Uranus and Neptune, which are primarily composed of elements heavier than H/He. The effect of different hydrogen equations of state (including new first-principles computations) on Jupiter’s core mass and heavy element distribution is detailed. This variety of the hydrogen equations of state translate into an uncertainty in Jupiter’s core mass of 18M _⊕ . For Uranus and Neptune we find deep envelope metallicities up to 0.95, perhaps indicating the existence of an eroded core, as also supported by their low luminosity. We discuss the results of simple cooling models of our solar system’s planets, and show that more complex thermal evolution models may be necessary to understand their cooling history. We review how measurements of the masses and radii of the nearly 50 transiting extrasolar giant planets are changing our understanding of giant planets. In particular a fraction of these planets appear to be larger than can be accommodated by standard models of planetary contraction. We review the proposed explanations for the radii of these planets. We also discuss very young giant planets, which are being directly imaged with ground- and space-based telescopes.     

MHD processes in the outer heliosphere

Conclusion Much has been learned about the structure and dynamics of the outer heliosphere during the last decade as a result observations from the Voyager and Pioneer spacecraft. The large scale of the observations forces one to consider the heliosphere from a new perspective, to think of new dynamical processes, and to introduce new concepts. The early studies of isolated gas dynamic flows must be replaced by MHD dynamics of interacting flows and flow systems. The simple deterministic models that have been dominant in early studies of the solar wind are now seen to have limited applicability, and statistical approaches are being developed. New concepts that have been introduced, such as inverse cascades, filtering, entrainment, etc., must be further explored and clarified, to make them more precise and quantitative. MHD turbulence is probably very important in solar wind dynamics, but the subject is poorly developed from a theoretical point of view. The statistical analysis of solar wind parameters has scarcely begun, but it is clearly necessary for an understanding of complex, large-scale flows. The multitude of possible interactions among shocks and flows of various types needs to be explored systematically with observations, models and analytical theory. Voyagers 1 and 2 and Pioneers 10 and 11 are continuing to move through the outer heliosphere and gather data. The lengthy data reduction procedures require even more care in dealing with the low field strengths, densities and temperatures at large heliocentric distances, and the analysis of the complex flows and fields in the outer heliosphere becomes increasingly difficult. Thus one can expect continued growth of our knowledge of the heliosphere, but comprehensive understanding of the data will take some time. If this review stimulates the specialists in solar wind physics to think critically about the results presented and to remedy the deficiencies of current knowledge of the heliosphere, then it will have served its purpose. It is also hoped that this review will serve to encourage specialists in other fields to bring their talents to bear on heliospheric problems and to transfer results of heliospheric physics to their fields.     

Design Considerations for Differential Low-Level Junction FET Commutators

The many advantages of junction field-effect transistors (FET) in commutation applications have prompted a serious effort to extend the technology without sacrificing performance and, in many areas, to realize an improvement over low-level commutator performance attainable by more conventional electronic means (especially Bright switches), so that these devices may be employed in general application, high-accuracy, low-level commutation. This paper is devoted to a generalization of knowledge recently gained during the development of such equipment, which will aid potential designers and users in their understanding and application of low-level FET commutators. A discussion of device characteristics is offered as the starting point of design. A number of topics are then discussed, including offset drift and scatter, gain drift and scatter, source and amplifier loading, crosstalk, and common-mode rejection. Also, several useful design guidelines, in the form of generalized expressions, are derived or furnished for the reader's use. Finally, in order to lend veracity to the design techniques suggested, the performance data of a low-level FET commutator developed following these techniques are offered for consideration.     

The role of antiprotons in cosmic-ray physics

Though success eluded experimentalists from detecting cosmic-ray antiprotons over a long period of time, the study of cosmic-ray antiprotons has now become a fascinating field of research. In this review, we have attempted to elucidate the excitement in this area of research since the discovery of antiprotons in the laboratory. We have described the experiments carried out so far to measure the energy spectrum of antiprotons, from about 200 MeV to about 15 GeV, and summarised the results. The observed spectrum, with the limited data, appears to be very hard and is different from other components of cosmic radiation. Upper limits to the fraction of antiprotons in cosmic-rays have also been derived at higher energies, using the observed spectra of cosmic-ray primary and secondary particles at different depths in the atmosphere. We have described various physical processes by which antiprotons could be produced, such as high-energy interactions, neutron oscillations, evaporation of Mini Black Holes, decay of super symmetric particles, etc. The energy spectrum of antiprotons, which are produced through the above processes, undergoes modifications during propagation in the Galaxy. We have examined in detail the propagation models which have been employed to explain the observed data. It is shown that no single model could predict correctly the observed energy spectrum of antiprotons over the entire energy region. However, many models are able to explain the data at relativistic energies. It is difficult at this stage to make a choice among these models. The implications of these models for other components of cosmic-rays, such as positrons, deuterium, and He, have been discussed. We have examined the production of gamma rays in the Galaxy from sources, which produce the observed antiprotons through high-energy interactions. We have also briefly indicated the effect of possible re-acceleration during their confinement in the Galaxy. We finally emphasized the need for more detailed measurements of the spectral shape of cosmic-ray antiprotons to further refine speculations of their origin. Similarly, we have shown that detailed observation of the energy spectra of positrons, deuterium, and He at relativistic energies are crucial to test various propagation models.     

俄罗斯航空发动机行业的整合

阐述了俄罗斯航空发动机行业整合背景、原因和目的,分析了整合公司的业务概况和发展趋势,预测了整合前景。我国和俄罗斯在航空发动机领域合作较多,本文提供了更多了解俄罗斯航空发动机行业改革的参考。     

Designing a parallel, distributed test system

The increasing use of parallel architectures and networking technologies has enabled test systems to break free from their traditional structure. Today's systems run multiple parallel tasks, distribute testing among many computers, and publish live data through the Internet to achieve faster performance, better reliability, and increased connectivity with enterprise-wide systems. Specifically, software technologies and techniques will be examined for developing and running parallel, distributed automated tests and distributing test data between applications or across the Internet. If used correctly, the result of these techniques is a higher performance, more robust test system. In addition, we will examine technologies that make creating these parallel, distributed systems possible for not only the advanced test program developer, but also the novice user     

The Omnibus model: a new model of data fusion?

Over the last two decades there have been several process models proposed (and used) for data and information fusion. A common theme of these models is the existence of multiple levels of processing within the data fusion process. In the 1980's three models were adopted: the intelligence cycle; the JDL model; and the Boyd control. The 1990's saw the introduction of the Dasarathy model and the Waterfall model. However, each of these models has particular advantages and disadvantages. A new model for data and information fusion is proposed. This is the Omnibus model, which draws together each of the previous models and their associated advantages whilst managing to overcome some of the disadvantages. Where possible, the terminology used within the Omnibus model is aimed at a general user of data fusion technology to allow use by a distributed audience     

Recent progress of machine learning in flow modeling and active flow control

In terms of multiple temporal and spatial scales, massive data from experiments, flow field measurements, and high-fidelity numerical simulations have greatly promoted the rapid development of fluid mechanics. Machine Learning(ML) provides a wealth of analysis methods to extract potential information from a large amount of data for in-depth understanding of the underlying flow mechanism or for further applications. Furthermore, machine learning algorithms can enhance flow information and automat...     

It is software process, stupid: next millennium software qualitykey

The economic impacts of software in our economy are discussed. The current economic state has been attributed to the Information Technology which has not only generated a large number of jobs but also contributed to the productivity and quality of the operations in our digital economy. The next millennium will be digital and obviously software has a very important role to play in our personal, national, and international scenes. Software will be essential in all our products from Space Station and airplanes to automobiles, television, pagers, and cellular telephones, For any organization, for that matter, even nations to succeed in the digital millennium software will be very essential. One who develops software better, cheaper, and faster will become the leader with enormous economic advantage. The key to success in software development will depend upon the software processes used to build them. Many national and international organizations have developed models based on processes to improve quality, productivity and cycle time of software development. Software Engineering Institute's Capability Maturity Model (CMM) is one such model. CMM helps in assessing the software processes and their capabilities and continuously improve them to higher levels of maturity. Similarly, ISO 9000 and the related ISO 9001 for software quality are based on software processes. This paper will bring out the importance of software processes particularly in managing the quality of software based on national and international initiatives     

激光增材制造过程数值仿真技术综述

数值仿真是研究激光增材制造过程中各类物理现象、揭示零件缺陷形成机理、优化增材制造工艺参数的重要手段,该领域学者针对增材制造过程中的热分析、金属粉末颗粒性质分析、微观结构分析、质量缺陷成因分析等方面,开展了大量研究,提出了相应的数学模型和方法。激光增材制造过程的数值仿真是一个在空间和时间上均跨越多个尺度的复杂问题,微观、介观、宏观尺度下数值仿真所关注的对象和所使用的方法各不相同;多数研究聚焦于某一尺度下的过程仿真,另一部分研究则基于不同模型的数据关系建立模型间的耦合关系,实现热-相、热-力的综合分析。对现阶段激光增材制造数值仿真领域的主要技术进行了综述,在梳理数值仿真基本流程的基础上,对其中涉及的热源模型,粉末模型,力学模型以及微观结构模型进行了介绍,讨论了其特点和适用性;结合相关技术领域的发展,探讨了激光增材制造数值仿真技术的发展方向,旨在为本领域的技术研究与发展提供参考。     

各推力级霍尔推力器研究现状与展望

介绍了霍尔推力器原理的基础上,推导分析了霍尔推力器推力的影响因素,总结了改变其推力的主要方法。概述了微牛级、毫牛级和牛级等不同推力级适用的航天任务类型,按照3个级别对国内外霍尔推力器型号进行了分类,分别对3个推力级各系列型号的发展及趋势进行了梳理与分析。对各推力级霍尔推力器发展的关键技术进行了展望。针对其中的技术瓶颈与发展趋势进行了总结分析。全面、系统地针对各推力级霍尔推力器进行了综述。结果表明:毫牛级发展最为成熟的推力级,而随着航天任务类型逐渐丰富,微牛级和牛级霍尔推力器发展潜力愈发突出;研究结果提出了霍尔推进器应提升整体性能、扩展推力覆盖范围,强化多模式工作能力,发展空心阴极以及探究不同推进剂等建议。该研究结果对于霍尔电推进的进一步发展具有参考价值。      

Numerical modeling of spacecraft electric propulsion thrusters

There is a clear current trend towards the replacement of small chemical thrusters used for spacecraft control by electric propulsion thrusters. These thrusters use a variety of mechanisms to convert electrical power into thrust and, in general, provide superior specific impulse in comparison to chemical systems. Electric propulsion has been under development for the last 40 yr, and almost all thrusters are designed based on experience and experimentation. The present article considers the progress made in numerical simulation of electric propulsion thrusters. Due to the wide range of such devices, attention is restricted to electric propulsion thruster types that are presently in use by orbiting spacecraft. The physical regimes created in these thrusters indicate that a variety of numerical methods is required for accurate numerical simulation ranging from continuum formulations to kinetic approaches. Successes of numerical simulation models are demonstrated through specific examples. It is concluded that numerical simulations can be expected to play a more prominent role in the design and evolution of future electric propulsion thrusters.     

论篮球教练员的个人影响力

篮球队的训练工作实际上是一个特殊的团体中人与人的交流过程，即教练员与运动员相互作用的过程。运动队的训练成效、竞赛成绩和队的发展很大程度上取决于教练员的才能和个人影响力。从社会和心理视点出发，对篮球教练员个人影响力的若干因素进行了论述和剖析，并阐述了如何运用好这几个因素，为提高篮球教练员在训练和队伍管理等方面的水平提供有益的参考．保证宴现筛球队的竞赛目标。     

Element Abundances in X-ray Emitting Plasmas in Stars

Studies of element abundances in stars are of fundamental interest for their impact in a wide astrophysical context, from our understanding of galactic chemistry and its evolution, to their effect on models of stellar interiors, to the influence of the composition of material in young stellar environments on the planet formation process. We review recent results of studies of abundance properties of X-ray emitting plasmas in stars, ranging from the corona of the Sun and other solar-like stars, to pre-main sequence low-mass stars, and to early-type stars. We discuss the status of our understanding of abundance patterns in stellar X-ray plasmas, and recent advances made possible by accurate diagnostics now accessible thanks to the high resolution X-ray spectroscopy with Chandra and XMM-Newton.     

Security applications of computer vision

In an age which bears witness to a proliferation of Closed Circuit Television (CCTV) cameras for security and surveillance monitoring, the use of image processing and computer vision techniques which were provided as top end bespoke solutions can now be realised using desktop PC processing. Commercial Video Motion Detection (VMD) and Intelligent Scene Monitoring (ISM) systems are becoming increasingly sophisticated, aided, in no small way, by a technology transfer from previously exclusively military research sectors. Image processing is traditionally concerned with pre-processing operations such as Fourier filtering, edge detection and morphological operations. Computer vision extends the image processing paradigm to include understanding of scene content, tracking and object classification. Examples of computer vision applications include Automatic Number Plate Recognition (ANPR), people and vehicle tracking, crowd analysis and model based vision. Often image processing and computer vision techniques are developed with highly specific applications in mind and the goal of a more global understanding computer vision system remains, at least for now, outside the bounds of present technology. This paper will review some of the most recent developments in computer vision and image processing for challenging outdoor perimeter security applications. It also describes the efforts of development teams to integrate some of these advanced ideas into coherent prototype development systems     

Spectroscopy of Icy Moon Surface Materials

Remote sensing of icy objects in the outer solar system relies upon availability of appropriate laboratory measurements. Surface deposits of specific substances often provide our most direct route to understanding interior composition, thereby informing theories of endogenic surface modification, exogenic surface processing and processes involving exchange of material with the interiors. Visible to near-infrared reflectance spectra of properly prepared compounds are required to enable retrieval of surface abundances through linear and nonlinear mixture analysis applied to spacecraft observations of icy bodies. This chapter describes the techniques, conditions and approaches necessary to provide reference spectra of use to theoretical models of icy satellite surface compositions, and summarizes the current state of knowledge represented in the published literature.     

Towards a Unified View of Inhomogeneous Stellar Winds in Isolated Supergiant Stars and Supergiant High Mass X-Ray Binaries

Massive stars, at least \(\sim10\) times more massive than the Sun, have two key properties that make them the main drivers of evolution of star clusters, galaxies, and the Universe as a whole. On the one hand, the outer layers of massive stars are so hot that they produce most of the ionizing ultraviolet radiation of galaxies; in fact, the first massive stars helped to re-ionize the Universe after its Dark Ages. Another important property of massive stars are the strong stellar winds and outflows they produce. This mass loss, and finally the explosion of a massive star as a supernova or a gamma-ray burst, provide a significant input of mechanical and radiative energy into the interstellar space. These two properties together make massive stars one of the most important cosmic engines: they trigger the star formation and enrich the interstellar medium with heavy elements, that ultimately leads to formation of Earth-like rocky planets and the development of complex life. The study of massive star winds is thus a truly multidisciplinary field and has a wide impact on different areas of astronomy.In recent years observational and theoretical evidences have been growing that these winds are not smooth and homogeneous as previously assumed, but rather populated by dense “clumps”. The presence of these structures dramatically affects the mass loss rates derived from the study of stellar winds. Clump properties in isolated stars are nowadays inferred mostly through indirect methods (i.e., spectroscopic observations of line profiles in various wavelength regimes, and their analysis based on tailored, inhomogeneous wind models). The limited characterization of the clump physical properties (mass, size) obtained so far have led to large uncertainties in the mass loss rates from massive stars. Such uncertainties limit our understanding of the role of massive star winds in galactic and cosmic evolution.Supergiant high mass X-ray binaries (SgXBs) are among the brightest X-ray sources in the sky. A large number of them consist of a neutron star accreting from the wind of a massive companion and producing a powerful X-ray source. The characteristics of the stellar wind together with the complex interactions between the compact object and the donor star determine the observed X-ray output from all these systems. Consequently, the use of SgXBs for studies of massive stars is only possible when the physics of the stellar winds, the compact objects, and accretion mechanisms are combined together and confronted with observations.This detailed review summarises the current knowledge on the theory and observations of winds from massive stars, as well as on observations and accretion processes in wind-fed high mass X-ray binaries. The aim is to combine in the near future all available theoretical diagnostics and observational measurements to achieve a unified picture of massive star winds in isolated objects and in binary systems.     

Experimental investigation of flow field in a laboratory-scale compressor

The inner flow environment of turbomachinery presents strong three-dimensional, rota-tional, and unsteady characteristics. Consequently, a deep understanding of these flow phenomena will be the prerequisite to establish a state-of-the-art design system of turbomachinery. Currently the development of more accurate turbulence models and CFD tools is in urgent need for a high-quality database for validation, especially the advanced CFD tools, such as large eddy simu-lation (LES). Under this circumstance, this paper presents a detailed experimental investigation on the 3D unsteady flow field inside a laboratory-scale isolated-rotor with multiple advanced measure-ment techniques, including traditional aerodynamic probes, hotwire probes, unsteady endwall static pressure measurement, and stereo particle image velocimetry (SPIV). The inlet boundary layer pro-file is measured with both hotwire probe and aerodynamic probe. The steady and unsteady flow fields at the outlet of the rotor are measured with a mini five-hole probe and a single-slanted hotwire probe. The instantaneous flow field in the rotor tip region inside the passage is captured with SPIV, and then a statistical analysis of the spatial distribution of the instantaneous tip leakage vortex/flow is performed to understand its dynamic characteristics. Besides these, the uncertainty analysis of each measurement technique is described. This database is quite sufficient to validate the advanced numerical simulation with LES. The identification process of the tip leakage vortex core in the instantaneous frames obtained from SPIV is performed deliberately. It is concluded that the ensemble-averaged flow field could not represent the tip leakage vortex strength and the trajectory trace. The development of the tip leakage vortex could be clearly cataloged into three phases according to their statistical spatial distribution. The streamwise velocity loss induced by the tipleakage flow increases until the splitting process is weak and the turbulent mixing phase is dominant.